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Travoltah/Zimbabwe-MNOs-Sentiment-Analysis

Domain:

natural language processing

Record type:

project
Creator:
Tra
Host:
# Zimbabwe-MNOs-Sentiment-Analysis # Main Research Objective To develop a machine learning model for customer sentiment analysis and market share trend prediction using twitter data for Ecocash Mobile Money Operator in Zimbabwe. # Specific Research objectives 1. To construct a time series analysis of how the frequencies of customer complaints have changed over the last 5 years. 2. To present monthly distribution of customer complaints. 3. To evaluate the impact of social media sentiments to the actual business market share. 4. To forecast future market share changes in relation to customer complaint changes. As stated before, the primary data will be scraped from twitter. Other supporting data will be sourced from different documents such as Potraz annual/quarterly reports.